Full-Time

Senior Machine Learning Engineer

Confirmed live in the last 24 hours

Hive

Hive

501-1,000 employees

Provides AI models and APIs for search

Data & Analytics
AI & Machine Learning

Compensation Overview

$160k - $250kAnnually

+ Stock Options

Senior

San Francisco, CA, USA

Category
Deep Learning
Natural Language Processing (NLP)
Computer Vision
AI & Machine Learning
Required Skills
Python
Tensorflow
Pytorch
Natural Language Processing (NLP)
Computer Vision
Data Analysis
Requirements
  • You have a Bachelor's Degree in computer science or a related field
  • You have a minimum of 5 years of building production scale ML models
  • You know the ins and outs modern machine learning frameworks, such as PyTorch or Tensorflow
  • You are an expert in scripting languages such as Python and/or shell scripts, particularly for data analysis
  • You have experience writing code and training across distributed systems
  • You have an ability to understand and make well-reasoned tradeoffs in designing features
  • You can lead end to end development of new products
  • You are very knowledgeable in at least one focus area of machine learning, such as computer vision or NLP
  • You strongly believe in high code quality, automated testing, and other engineering best practices
  • You have attention to detail and a passion for correctness
  • You are comfortable with ambiguity and scoping solutions with your teammates
  • You have strong interpersonal and communication skills with a bias towards action
Responsibilities
  • Everything involved in applying a ML model to a production use case, including, designing and coding up the neural network, gathering and refining data, training and tuning the model, deploying it at scale with high throughput and uptime, and analyzing the results in the wild in order to continuously update and improve accuracy and speed
  • Write and maintain scalable, performant and secure code that can be shared across platforms
  • Meaningfully contribute to the product and core backend systems by suggesting and executing improvements
  • Improve engineering standards, tooling, processes and security
  • Develop novel, accurate, and performant ML algorithms for use at scale
  • Conduct metric-driven research experiments to improve model performance
  • Provide mentorship to and help onboard junior ML engineers
  • Collaborate cross-functionally with other teams
  • Utilize OWASP top 10 techniques to secure code from vulnerabilities
  • Maintain awareness of industry best practices for data maintenance handling as it relates to your role
  • Adhere to policies, guidelines and procedures pertaining to the protection of information assets
  • Report actual or suspected security and/or policy violations/breaches to an appropriate authority

Hive offers advanced artificial intelligence models through APIs that enhance search capabilities, such as visual similarity and text-to-image search. Their deep learning models can label and classify content with high accuracy and generate images and text from prompts, making them useful for industries like sports and marketing. Hive differentiates itself with its commitment to information security, holding ISO 27001:2022 and SOC Type 2 certifications. The company's goal is to empower businesses by providing AI solutions that improve their operational efficiency and decision-making.

Company Stage

Series D

Total Funding

$138.3M

Headquarters

San Francisco, California

Founded

2013

Growth & Insights
Headcount

6 month growth

13%

1 year growth

25%

2 year growth

44%
Simplify Jobs

Simplify's Take

What believers are saying

  • Hive's AI solutions are crucial for the growing demand in content moderation and verification.
  • The company's collaboration with Virgin Money highlights its role in sustainable AI applications.
  • Hive's expertise in AI positions it well for the expanding market in political content integrity.

What critics are saying

  • Competition from OpenAI's GPT-4 could impact Hive's content moderation market share.
  • TrueMedia's deepfake detection tool may create conflicts in the AI verification space.
  • Collaboration between TrueMedia and Microsoft could outpace Hive's AI content verification offerings.

What makes Hive unique

  • Hive offers a comprehensive suite of pre-trained AI models for diverse applications.
  • The company has a vast distributed workforce for efficient data labeling operations.
  • Hive's technology is trusted by major global organizations for content moderation and brand protection.

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Benefits

Competitive Pay

Equity

Comprehensive Insurance

Catered Meals

Corporate Gym Membership